The University of Kansas Health System

Cliff DeGraff

Did you know imaging services now contribute to as much as 80 percent of critical clinical decision-making? Medical imaging has evolved from a support function into an indispensable cornerstone of modern medicine, driving critical decisions and transforming patient care. In today’s rapidly evolving healthcare landscape, imaging departments face unprecedented pressure to deliver faster, safer, and more accurate diagnoses while maximizing operational efficiency.

At The University of Kansas Health System, we have embraced this challenge by leveraging the latest imaging technologies and artificial intelligence (AI) to create a safer, more innovative, and more responsive radiology practice.

One transformational example is the adoption of an Artificial Intelligence-enabled software platform for CT image analysis, particularly in acute scenarios such as suspected stroke. This technology accelerates diagnostic turnaround times by automating key aspects of image processing and clinical assessment. It reduces the margin for human error, allowing physicians to rapidly identify abnormalities and initiate treatment. In neuroradiology, advanced AI-powered MRI tools now enhance images, optimize acquisition, and improve resolution beyond conventional 3T capabilities, offering sharper, more detailed visualization previously only possible with higher-end systems. These innovations support faster, more confident clinical decisions and better patient outcomes.

Next-generation machine learning is also transforming care beyond the brain. In cardiovascular imaging, AI platforms generate personalized digital 3D models of a patient’s coronary arteries, enabling more precise planning and intervention tailored to each individual. In breast imaging, Computer-Aided Detection (CAD) software acts as an indispensable second set of eyes— identifying subtle patterns that may go unnoticed. The result: improved early cancer detection, reduced recall rates, and greater patient confidence.

Of course, such rapid technological advancement demands a disciplined, cross-functional approach to procurement and implementation. Every new imaging modality, AI solution, or major equipment upgrade at our institution is vetted through a standing multidisciplinary committee. Representatives from radiology, clinical leadership, IT, direct care staff, and frontline users assess needs, data, workflow impact, and safety considerations before making any purchasing decision. This collaborative process ensures that every investment aligns with clinical operations, staff expertise, and—most importantly— patient safety.

Such a robust framework is essential as demand for imaging services grows. AI-powered image analysis enables radiologists to process more cases daily without compromising accuracy. Automated protocols streamline scheduling, reduce wait times, and make the diagnostic journey more efficient and patient-centered.

Patient and staff safety remains our highest priority. Rigorous maintenance, calibration, and continuous education are nonnegotiable, with twice-weekly safety meetings to update best practices. Our imaging departments uphold the highest radiation safety standards, employing advanced protocols to minimize exposure while preserving image quality.

We are also investing in the future workforce. Hands-on training with next-generation technologies is embedded into our educational pathways. For example, MRI Trainee roles ensure new hires gain expertise in hardware and emerging AI software, preparing them to deliver safe, efficient imaging services long into the future.

As our health system advances research and strategic innovation, radiology’s role has never been more vital. Radiology remains represented at the strategic table for every major initiative, ensuring that imaging informs quality initiatives, supports multidisciplinary teams, and helps drive the adoption of evidence-based practices across the region.

Looking ahead, our initiatives are designed to further streamline operations, reduce delays, and uphold the highest standards of care. These include expanding AI-driven workflow automation to shorten report turnaround times, enhancing machine intelligence to reduce scan durations, and using predictive analytics to optimize patient scheduling and resource allocation.

Through these efforts, the University of Kansas Health System is positioning itself as a leader in the future of radiology—a model of innovation, reliability, and patient-centered excellence.